Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification

Adam Krzyzak, Marian Partyka. Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification. In Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I. Volume 10245 of Lecture Notes in Computer Science, pages 107-117, Springer, 2017. [doi]

@inproceedings{KrzyzakP17,
  title = {Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification},
  author = {Adam Krzyzak and Marian Partyka},
  year = {2017},
  doi = {10.1007/978-3-319-59063-9_10},
  url = {https://doi.org/10.1007/978-3-319-59063-9_10},
  researchr = {https://researchr.org/publication/KrzyzakP17},
  cites = {0},
  citedby = {0},
  pages = {107-117},
  booktitle = {Artificial Intelligence and Soft Computing - 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I},
  editor = {Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi A. Zadeh and Jacek M. Zurada},
  volume = {10245},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-59063-9},
}